Data Analyst - Supply Chain

Data Analyst - Intelligent Supply Chain page is loaded## Data Analyst - Intelligent Supply Chain locations:
Oshkosh, Wisconsin, United Statestime type:
Full time posted on:
Posted Todayjob requisition :
R43598
** At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.
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* JOB SUMMARY:

** Data Analyst will work with a cross-functional team to develop and execute data analytics strategy for Global Procurement & Supply Chain (GPSC).  GPSC Analytics work encompasses the acquisition, processing and machine learning of business data and application to preventive maintenance and intelligent control of our vehicles.

Position will support teams in developing, deploying policies and procedures that promote efficient, accurate data, analysis of data, and effective information management to ensure data analysis is used and maintained properly across our organization.
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* ESSENTIAL DUTIES AND RESPONSIBILITIES:

** These duties are not meant to be all-inclusive and other duties may be assigned.
* Collaborate with other team members to execute data analytics strategy for cross-segment.
* Acquire necessary business understanding to conduct appropriate analysis through communication with internal experts, external partners, and industry researchers.
* Discover, acquire, explore, prepare, assess, and maintain datasets from a variety of sources to support analyses and ad-hoc investigative requests.
* Help identify valuable data sources and automate related tasks (ETL, reporting, etc.).
* Undertake the processing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns.
* Utilize Artificial Intelligence (AI) and Machine Learning (ML) learning algorithms built into analytics platform to cleanse and categorize volumes of data.
* Present information using data visualization techniques and chart/dashboard tools for technical and non-technical audiences and build automated reports.
* Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
* Recognize problems requiring advanced analytical techniques to solve, develop and investigate strategies towards a solution.
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* MINIMUM QUALIFICATIONS:

*** Organized, detail-oriented, with strong critical thinking, analytical, and problem-solving skills to handle tasks in a fast-paced environment, both independently and as part of a team.
* Display excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leadership and peers.
* Understanding of general concepts of statistics, data mining, machine learning, data visualization, information retrieval, artificial intelligence, and computer vision.
* Data governance abilities with knowledge of metadata management, data quality management, data integration or data management.
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* EDUCATION AND EXPERIENCE:

*** Bachelor’s degree in computer science (or STEM / related field) OR two (2) or more years of proven data-centric work experience; OR graduate degree in data science (or a related field with applicable work experience).
* Prior experience in industrial and/or manufacturing environments desired, and any experience with automotive or heavy duty on or off-road vehicles and controller area network (CAN) signals is a plus.
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* PREFERRED QUALIFICATIONS:

*** Understand the general concepts of statistics, data mining, machine learning (ML), data visualization, information retrieval, and artificial intelligence (AI).
* Strong proficiency with Power BI and other supply chain systems for data visualization.
* Design, develop, implement, sustain data analytics, governance of policies and procedures as part of a broader enterprise data management program including, but not limited to:  + Data quality framework, metrics,…